Provider comparison

OpenAI vs Google AI models

This decision page compares live OpenAI and Google catalog coverage for teams weighing provider ecosystem fit, multimodal workflows, context size, and current route cost.

171Listed models compared

LivePricing and coverage data

2 providersRoute strategy decision

Fast answer

Choose the provider route that fits the workload, not a generic brand ranking

Use ecosystem fit as the first filter when your stack already depends heavily on one provider

Data source and freshness

Catalog-backed, not a static price sheet

TVP refreshes this page from the live OpenRouter model catalog. This render used 625 public model records and was synchronized Sep 29, 2026, 1:37 PM UTC. Pricing, availability, and context values can change.

Verify the exact route before sending production traffic, then use the linked model and provider pages as the source for current values. Read the TVP data methodology.

Live coverage

Current provider inventory at a glance

Provider route

OpenAI

118 live models, 118 with listed paid input pricing.

118Models

1,050,000Max context

$0.01Lowest listed input

audio
embeddings
file
image
structured
text
tools
transcription

View OpenAI models

Provider route

Google

53 live models, 53 with listed paid input pricing.

53Models

1,048,576Max context

$0.05Lowest listed input

audio
embeddings
file
image
speech
structured
text
tools

View Google models

Start testing

High-context listed models to evaluate next

OpenAI

Model shortlist

OpenAI: GPT-6 Luna ProGPT-6 Luna Pro is the same underlying model as [GPT-6 Luna](TVP catalog), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...
OpenAI: GPT-6 Luna Pro (batch)GPT-6 Luna Pro is the same underlying model as [GPT-6 Luna](TVP catalog), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...
OpenAI: GPT-6 LunaGPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic...
OpenAI: GPT-6 Luna (batch)GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic...

Google

Model shortlist

Google: Gemini 3.8 FlashGemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.
Google: Gemini 3.8 Flash (batch)Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.
Google: Gemini 3.7 FlashGemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...
Google: Gemini 3.7 Flash (batch)Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...

Provider FAQ

How to make the provider decision

Should I choose OpenAI or Google for multimodal work?

Compare the currently listed image-capable models, context windows, and pricing on the live provider cards. The strongest choice depends on the inputs and throughput your route handles.

Do provider model counts decide this comparison?

No. More listed models create more options, but the best production decision comes from a shortlist of models that meet the workload requirements.